1 intro

1.1 Purpose

2 quick look: all correlations

3 Parcel-wise stats

3.0.1 Axcpt

3.0.2 Cuedts

3.0.3 Stern

3.0.4 Stroop

3.0.5 all tasks: conjunction analysis

  • parcels with pFDR < 0.05 in all tasks

3.0.6 all tasks: fixed-effect analysis (average across tasks)

  • parcels with pFDR < 0.05 in all tasks

4 DMCC 35 versus null 35

## # A tibble: 8 x 5
## # Groups:   task [4]
##   task   parcelset          p statistic      b
##   <fct>  <chr>          <dbl>     <dbl>  <dbl>
## 1 Axcpt  dmcc35    0.0000101       5.33 0.219 
## 2 Axcpt  null35    0.0000597       4.69 0.102 
## 3 Cuedts dmcc35    0.000252        4.17 0.186 
## 4 Cuedts null35    0.00000238      5.85 0.0909
## 5 Stern  dmcc35    0.000134        4.40 0.199 
## 6 Stern  null35    0.0118          2.69 0.0663
## 7 Stroop dmcc35    0.0000154       5.18 0.210 
## 8 Stroop null35    0.000542        3.89 0.0866
## # A tibble: 4 x 4
##   task          p statistic      b
## * <fct>     <dbl>     <dbl>  <dbl>
## 1 Axcpt  0.00227       3.35 0.117 
## 2 Cuedts 0.0187        2.49 0.0955
## 3 Stern  0.000457      3.95 0.133 
## 4 Stroop 0.000927      3.69 0.123

5 relationship with hilo contrast

## # A tibble: 4 x 4
##   task   r_hilo_mu r_taskrest_mu r_taskrest_hilo
## * <chr>      <dbl>         <dbl>           <dbl>
## 1 Axcpt     0.390         0.0764          0.120 
## 2 Cuedts    0.0940        0.237          -0.0225
## 3 Stern     0.324         0.143           0.123 
## 4 Stroop    0.382         0.299           0.218